CVE-2017-4952 (GCVE-0-2017-4952)
Vulnerability from cvelistv5 – Published: 2018-05-02 14:00 – Updated: 2024-09-16 23:41
VLAI
EPSS
VEX
Summary
VMware Xenon 1.x, prior to 1.5.4-CR7_1, 1.5.7_7, 1.5.4-CR6_2, 1.3.7-CR1_2, 1.1.0-CR0-3, 1.1.0-CR3_1,1.4.2-CR4_1, and 1.5.4_8, contains an authentication bypass vulnerability due to insufficient access controls for utility endpoints. Successful exploitation of this issue may result in information disclosure.
Severity
7.5 (High)
CWE
- Authentication bypass vulnerability
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://github.com/vmware/xenon/commit/b1fd306047… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/30ae41bccf… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/103093 | vdb-entryx_refsource_BID |
| https://github.com/vmware/xenon/commit/756d893573… | x_refsource_CONFIRM |
| http://seclists.org/oss-sec/2018/q1/153 | mailing-listx_refsource_MLIST |
| https://github.com/vmware/xenon/commit/5682ef8d40… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/ec30db9afa… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/055ae13603… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/c23964eb57… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/7a747d82b8… | x_refsource_CONFIRM |
| https://github.com/vmware/xenon/commit/06b9947cf6… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| VMware | VMware Xenon |
Affected:
1.x prior to 1.5.4-CR7_1, 1.5.7_7, 1.5.4-CR6_2, 1.3.7-CR1_2, 1.1.0-CR0-3, 1.1.0-CR3_1,1.4.2-CR4_1, and 1.5.4_8.
|
guessed |
Date Public
2018-02-13 00:00
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],
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},
{
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"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://seclists.org/oss-sec/2018/q1/153"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/103093"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
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],
"url": "https://github.com/vmware/xenon/commit/055ae13603f0cc3cd7cf59f20ce314bf8db583e1"
},
{
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"url": "https://github.com/vmware/xenon/commit/06b9947cf603ba40fd8b03bfeb2e84528a7ab592"
},
{
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"url": "https://github.com/vmware/xenon/commit/30ae41bccf418d88b52b35a81efb3c1304b798f8"
},
{
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],
"url": "https://github.com/vmware/xenon/commit/5682ef8d40569afd00fb9a5933e7706bb5b66713"
},
{
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"url": "https://github.com/vmware/xenon/commit/756d893573414eec8635c2aba2345c4dcf10b21c"
},
{
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],
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},
{
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},
{
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],
"url": "https://github.com/vmware/xenon/commit/c23964eb57e846126daef98ef7ed15400313e977"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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],
"url": "https://github.com/vmware/xenon/commit/ec30db9afada9cb52852082ce4d7d0095524f3b3"
}
],
"sourceIdentifier": "security@vmware.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-732"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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